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64 Cards in this Set

  • Front
  • Back

Inferential Statistics

Tools used to make generalized inferences about a population from a sample.

t-test

comparison of the means of 2 populations

Matched Pairs t-test

Used when 2 measurements are taken from each ps. (Usually used in before and after treatment conditions)

Independent t-test

Used when two different samples are collected and compared

F (ANOVA)

(The P value is found from this)
F=Variance Between/Variance Within

Post Hoc comparison

Tells you where sign difference of the means from an ANOVA test was (assuming critical F value was met)

Factorials

Mixed


Interactions





Main Effects

F Tables

SS

df

MS

F

p

Alpha levels

Statistical Significance

Type I Errors


Rejecting Null when it shouldn't be Rejected
(Finding false significance)


False Positive

Type II Errors

Failing to reject H0 when it should be rejected (accepting the null)
Fals Negative

HeteroGeneity

Homgeneity of variance

Levene's Test


Normal Distribution

Degrees of freedom

t-obtained

t-critical values

Laws of Parsimony

Ceiling Effect

Floor Effect

Converging Series

Single Blind

Double Blind

Demand Characteristics

Non Experiments designs

Quasi Experimental designs

APA Format

Abstract

Introduction

Methods

Results

Discussion

References

Quasi Time series


Pre-Posttest

Non experimental Posttest

non experimental pre-posttest

DV

Variable being measured

IV

Manipulated Variable

Nominal Data (Categorical)

Name or Label (Men, Women)
[nonparametric statistics]

Ordinal (rank order)

Interval not know (Gold, Silver, Bronze, 1st 2nd 3rd)

Interval

interval btw 60-70 s same as 70-80. NO ABSOLUTE ZERO


[Parametric]

Ratio

Interval w/absolute zero (Best to measure stastical significance)

Chi Square

Oberserved Frequency is or isnt equal to the Expected occurence (100 coint tosses E- 50H:50T, O- 60H:40T)

Spearman

Ordinal


Shows Correlation
(-1 to 1)

Pearson r

interval and ratio data
shows correlation


(-1 to 1)

Reliabilty

Consistent results
(If it isnt reliable it isnt valid)

Valid

Accuracy in measure. Measure what it's supposed to measure

Likert Scale

Scale of agreement (1-7 usually)

Descriptive Methods

1. Observational


2. Case Study


3. Survey

Observational

2 types:


1. Naturalistic


2. Laboratory




(+)Flexibility in where to study


(-) Little Control

Case Study

In depth of 1+ individuals


(+) Depth of information gathered


(-) Lack of generalizabalility


(-)Highly subj.

Survey

(+)


Large groups


Easy to administer


(-)


Wording of questions


Dependent on Ps


The sample truly representative

Research process

Identify a prob; Review Lit, generate hyp, Design/conduct exp, analyze, communicate results